AI-Driven Alzheimer''s Disease Detection and Prediction
★★★★★
★★★★★
English
Alzheimer's disease (AD) poses a significant global health challenge, with an estimated 50 million people affected worldwide and no known cure. Traditional methods of diagnosis and prediction often rely on subjective assessments. They are limited in detecting the disease early, leading to delayed intervention and poorer patient outcomes. Additionally, the complexity of AD, with its multifactorial etiology and diverse clinical manifestations, requires a multidisciplinary approach for effective management. AI-Driven Alzheimer's Disease Detection and Prediction offers a groundbreaking solution by leveraging advanced artificial intelligence (AI) techniques to enhance early diagnosis and prediction of AD. This edited book provides a comprehensive overview of state-of-the-art research, methodologies, and applications at the intersection of AI and AD detection. By bridging the gap between traditional diagnostic methods and cutting-edge technology, this book facilitates knowledge exchange, fosters interdisciplinary collaboration, and contributes to innovative solutions for AD management. It also benefits data scientists, engineers, policymakers, and professionals in the pharmaceutical and biotechnology industries. Graduate students interested in healthcare and technology will find accessible information on the latest developments in AI-driven approaches to AD detection and prediction.
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€413.24
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Product Details
Dimensions: 216 x 279mm
Publication Date: 31 Jul 2024
Publisher: IGI Global
Publication City/Country: United States
Language: English
ISBN13: 9798369336052
About
Umesh Kumar Lilhore is currently a Professor at the School of Computing Science & Engineering (CSE) at Galgotia University Greater Noida. With over 19 years of teaching and 8 years of research experience he has previously held positions at various renowned universities and colleges in India and abroad. Dr. Lilhore holds a Ph.D. and M.Tech in CSE and has completed his postdoctoral research at the Institute of Advanced Computing University of Louisiana at Lafayette. He has a strong publication record with articles in reputed peer-reviewed national and international Scopus journals and conferences. With Abhineet Anand's 23+ years of academic and administrative experience his research includes the following field of endeavour: Cloud Computing Cloud Security Decision Tree nearest neighbour method Clustering Rule induction Optical Fibre Switching in Wavelength Multiplexing Automata Theory. He has published more than 14 SCI 53+ Scopus indexed papers 20+ papers in International conference 12 Intentional Journal 3 National Journal and 3 National Conference with 6 Book with prestigious publishers.Abhishek Kumar is currently working as an Assistant Director in the Computer Science & Engineering Department at Chandigarh University Punjab India. is doing Post-Doctoral Fellow in Ingenium Research Group Ingenium Research Group Lab Universidad De Castilla- La Mancha Ciudad Real and Ciudad Real Spain. He has total Academic teaching experience of more than 12 years along with 2 years teaching assistantship. He has more than 160 publications in reputed peer-reviewed National and International Journals books & Conferences He has authored/Co-Authored 7 books published internationally and edited 39 books (Published & ongoing with IET Elsevier Wiley IGI GLOBAL Springer Apple Academic Press De-Gruyter and CRC etc. He is Patent holder and got Sir CV Raman National award for 2018 in young researcher and faculty Category from IJRP Group. He is acting as Series Editor for three books series Quantum Computing with Degruyter Germany Intelligent Energy System with Elsevier & Mathematical Methods in the Digital Age: Computational Intelligence & Advancements.Satya Prakash Yadav is currently the Associate Professor of the Department of Computer Science and Engineering G.L. Bajaj Institute of Technology and Management (GLBITM) Greater Noida (India) and has completed his Postdoctoral under the supervision Prof. (Dr.) Victor Hugo C. de Albuquerque from Federal Institute of Education Science and Technology of Ceará Brazil. He has awarded his PhD degree from Dr. A.P.J. Abdul Kalam Technical University (AKTU) (formerly UPTU). Currently 4 students are working for Ph.D. under my guidance. A seasoned academician having more than 17 years of experience he has published four books (Programming in C Programming in C++ and Blockchain and Cryptocurrency) under I.K. International Publishing House Pvt. Ltd. Including Distributed Artificial Intelligence: A Modern Approach Published December 18 2020 by CRC Press. He has undergone industrial training programs during which he was involved in live projects with companies in the areas of SAP Railway Traffic Management Systems and Visual Vehicles Counter and Classification (used in the Metro rail network design). He is an alumnus of Netaji Subhas Institute of Technology (NSIT) Delhi Universit Narayan Vyas a Principal Research Consultant at AVN Innovations is a distinguished academician and expert in advanced technologies. He cleared the NTA UGC NET & JRF in Computer Science & Applications on his first attempt underscoring his academic excellence. With profound knowledge of the Internet of Things (IoT) and Mobile Application Development he has trained students worldwide and authored numerous articles in reputable national and international Scopus-indexed conferences and journals. His research spans IoT Remote Sensing Machine Learning Deep Learning and Computer Vision. A sought-after keynote speaker Mr. Vyas collaborates with leading publishers like Wiley IGI Global and DeGruyter on various book projects marking his significant contribution to the field.